Dr. Bin Gong

Dr. Bin Gong holds a PhD degree in Petroleum Engineering from Stanford University. Dr. Gong worked for Chevron from 2006 to 2011 as a research scientist, and was an associate professor in Energy & Resources Engineering Department in Peking University from 2008 to 2015. He is the founder and CEO of Tracy Energy Technologies since 2013, and is the chair professor in Petroleum Engineering Department in China University of Geosciences. Dr. Gong and his team are devoted to incorporating AI algorithms with reservoir simulation for highly efficient reservoir forecast and decision making through a “AI+ Physics” framework.

Session Overview

Thursday, 7 November

11:30

Energy ai Conference Energy AI Theatre 11:30 - 12:00

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Innovation showcase: Digital twin solution for intelligent oil & gas fields

Creating a digital twin of the reservoir and entire production system is key to optimising oil and gas field management. Timeline offers a comprehensive solution to achieve this, utilising cutting-edge cloud-based data lake technology with AI and domain algorithms deployed as microservices for seamless access and collaboration.

The platform provides real-time 3D visualisation of subsurface and surface assets, including reservoirs, wells, pipelines, and platforms. It uses advanced AI models, such as GNN/CNN-Transformer, to deliver rapid, accurate predictions of reservoir and pipeline dynamics.

By enabling real-time simulations and tracking, Timeline allows for near-instant predictions and well control optimisations, transforming decision-making and operational efficiency.